All correlations show a both the size and
direction of the association. The correlations (see the first column- Pearsons
correlation coefficient) are each in the direction expected, with the exception of WAZ and
measles immunization. This reason was looked at in detail in the two-way analysis, which
showed that age is a confounding factor for measles and WAZ. The solution to uncovering
the true relationship is to break the analysis group into smaller age groups for the
analysis. We can begin to see where we will need to watch for collinearity between
certain independent variables, such as mother's height and low education.

It is also helpful to visualize these linear
relationships. In order to see the graph of each variable set, the scatterplot
function can be used.